Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB332F306440ED3701CB9AD86672476A72EA8305CA230689FAF4C7B95BEFC6CCE37555 |
|
CONTENT
ssdeep
|
768:Pc1+s2R/jmgiWjVetmSvlSJI8lzyOZmZUf7Y:U+s2R6giWjV9i9OZme7Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a504dacacaabcaea |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
71c4ce0ad3003b03 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
1e0000001c0 |
|
VISUAL
cropResistant
|
8c63611931618200,0000421a3b130204,c414c6c63ecacb73 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 55 techniques to evade detection by security scanners and make reverse engineering more difficult.